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Hands-On Guide Shows How to Build a Node.js MCP Server for AI Tooling

The piece turns MCP’s spec into a practical path to expose tools via a small server with concrete deployment and safety steps.

Overview

  • The tutorial defines MCP as a protocol that lets models such as Claude, ChatGPT, or Gemini call external tools, APIs, files, and databases in a controlled way.
  • A minimal Node.js server is built with @modelcontextprotocol/sdk, registering a getDate tool and connecting over stdio via StdioServerTransport.
  • Setup instructions detail how to connect the local server to Claude Desktop by editing the claude_desktop_config.json mcpServers entry.
  • The architecture is explained as AI model to MCP client over WebSocket or stdio to an MCP server that exposes tools and resources.
  • Optional guidance covers deploying to Google Cloud Run, Cloudflare Workers, or Vercel, plus applying authentication, logging, input validation, rate limiting, and environment isolation.